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» Weak Models and Cue Integration for Real-Time Tracking
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CVPR
2005
IEEE
10 years 3 months ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur
ICRA
2005
IEEE
183views Robotics» more  ICRA 2005»
9 years 7 months ago
Integration of Model-based and Model-free Cues for Visual Object Tracking in 3D
— Vision is one of the most powerful sensory modalities in robotics, allowing operation in dynamic environments. One of our long-term research interests is mobile manipulation, w...
Ville Kyrki, Danica Kragic
FGR
2006
IEEE
262views Biometrics» more  FGR 2006»
9 years 7 months ago
Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
This paper presents the application of a kernel particle filter for 3D body tracking in a video stream acquired from a single uncalibrated camera. Using intensity-based and color...
Joachim Schmidt, Jannik Fritsch, Bogdan Kwolek
AMFG
2005
IEEE
218views Biometrics» more  AMFG 2005»
9 years 7 months ago
Online Feature Selection Using Mutual Information for Real-Time Multi-view Object Tracking
It has been shown that features can be selected adaptively for object tracking in changing environments [1]. We propose to use the variance of Mutual Information [2] for online fea...
Alex Po Leung, Shaogang Gong
FGR
2004
IEEE
185views Biometrics» more  FGR 2004»
9 years 5 months ago
Real Time Hand Tracking by Combining Particle Filtering and Mean Shift
Particle filter and mean shift are two successful approaches taken in the pursuit of robust tracking. Both of them have their respective strengths and weaknesses. In this paper, w...
Caifeng Shan, Yucheng Wei, Tieniu Tan, Fréd...
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